{"id":"W921088894","doi":"10.1007/s11356-015-4982-9","title":"First inter-laboratory comparison exercise for the determination of anticancer drugs in aqueous samples","year":2015,"lang":"en","type":"article","venue":"Environmental Science and Pollution Research","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Natural Environment Research Council; Canadian Institute for Advanced Research","keywords":"Chromatography; Etoposide; Wastewater; Chemistry; Repeatability; Effluent; Ifosfamide; Liquid chromatography–mass spectrometry; Mass spectrometry; Medicine; Surgery; Environmental science; Chemotherapy; Environmental engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002843954,0.0001005578,0.0001277755,0.00008898304,0.0003447059,0.0000421603,0.0003467001,0.00004223367,0.0001802774],"category_scores_gemma":[0.0001675282,0.00007210029,0.00002183802,0.0004838332,0.003833701,0.0003934247,0.0004053461,0.000162961,0.00005694212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005408655,"about_ca_system_score_gemma":0.00003442898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003549778,"about_ca_topic_score_gemma":0.00007594776,"domain_scores_codex":[0.9978925,0.00006813969,0.0002228709,0.0003162916,0.001055266,0.0004449521],"domain_scores_gemma":[0.9993626,0.0001615191,0.00005396719,0.0001796294,0.000007484291,0.0002348238],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003683892,0.001048959,0.3022892,0.00004903199,0.000006406256,0.000003949336,0.007583892,0.0008861763,0.2495201,0.0002436573,0.002053681,0.4359466],"study_design_scores_gemma":[0.001478334,0.0004925534,0.7671523,0.00009679238,0.00001990674,0.000005297667,0.007203115,0.05618029,0.140232,0.0009806128,0.02583126,0.0003275693],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963842,0.0005377241,0.0003742696,0.001450646,0.00007763285,0.0005835238,0.00003451569,0.000006121154,0.0005513545],"genre_scores_gemma":[0.9989055,0.0003913868,0.0004508891,0.0001078274,0.00001699172,0.00002279199,0.000001870773,0.000006365217,0.00009633636],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4648631,"threshold_uncertainty_score":0.9988773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09767137149262063,"score_gpt":0.3943224479831933,"score_spread":0.2966510764905727,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}